Wait times Bins Frequency Intervals R. Frequency R. Frequency % 9 4 0-9 0.031496063 3.15% 19...

	Wait times
Bins	Frequency	Intervals	R. Frequency	R. Frequency %
9	4	0-9	0.031496063	3.15%
19	34	10-19	0.267716535	26.77%
29	34	20-29	0.267716535	26.77%
39	16	30-39	0.125984252	12.60%
49	19	40-49	0.149606299	14.96%
59	13	50-59	0.102362205	10.24%
69	5	60-69	0.039370079	3.94%
79	1	70-79	0.007874016	0.79%
89	1	80-89	0.007874016	0.79%
99	0	90-99	0	0.00%
	0	100+	0	0.00%
Total:	127		1	100.00%

Part 2 - Scenario:

You are the manager of a hospital’s ER unit. Your CEO has heard that people have been criticizing the hospital’s wait time for ER services. Your CEO has asked you to present information on wait times at the ER to the hospital board of trustees and administrators. You requested data from your IT team on the wait times for recent ER visits (that is the data included in the excel sheet). Following the question prompts below, answer each of these questions to prepare a report that communicates your finding to your CEO, interprets the findings, and discussed the implications of the findings.

Purpose: Identify the purpose of the analysis in this section. What questions do you hope to answer?
Importance: State and explain the importance of this analysis to the department/organization. How will the findings be used?
Methodology: State the statistical method used in this section.
Findings: Copy and Paste all relevant output from Excel into this section (decide which output you think is relevant to include such as tables and charts). State your major findings from the included tables/charts.
Interpretations/Implications: Discuss what the department/organization needs to do based on the findings.

Solutions

Expert Solution

Purpose: The purpose of the analysis is to find the wait time in different age group divided in the interval of 10 each. As we can see, there are 11 age groups in this analysis and each has a different frequency (wait time).
Importance: The importance could be pretty useful for the department. As we can see, each age group has a different wait time and the highest wait time is in the age group of 10-19 and 20-29. With these findings, the hospital department can deploy more ER unit to handle wait time for the particular age group.
Methodology: The method used in this section is called frequency distribution method.
Implications: As we can see from the pivot table, the wait time is very high in the 10-19 and 20-29 age group. So, the department can deploy new ER unit to handle and decrease the wait time of the patients. :
Findings:

orchestra answered 1 year ago

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